Udemy – Multi-Strategy Quant Systems – Algorithmic Trading in Python 2022-2

Udemy – Multi-Strategy Quant Systems – Algorithmic Trading in Python 2022-2 Downloadly IRSpace

Apr 17, 2025 - 12:08 Updated: Apr 20, 2025 - 22:13

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Udemy – Multi-Strategy Quant Systems – Algorithmic Trading in Python 2022-2

Multi-Strategy Quant Systems – Algorithmic Trading in Python, As this is not a Python tutorial, we get right down to business and adopt a no-nonsense coding approach. It is advised that you slow down the pace of the course to your own needs. Even though only 7 hours of lectures have been distilled, the material within is fairly heavy. It is a walkthrough without the introductory explanations – since there are no explanations within the lecture walkthroughs, all students are expected to be hands-on and actively participate by asking questions; which we will compile in the Questions Section.

Code is downloadable in Checkpoint Lectures. Implement a Multi Strategy Quantitative System in Python from Scratch, while learning how to build robust frameworks for implementation of alpha signals and capital allocation. Learn industry standards in risk management, such as volatility targeting schemes and technical diversification. Code along an algorithmic trading system with modular approaches to integrate with multiple brokerages and switch between them in a matter of seconds, all with the same code.

What you’ll learn

Implement Multi-Strategy Quantitative Portfolios with Python
Build Modular Trading System such that components can be altered to trading preferences
Implement code for data pipelines, alpha research, alpha strats, portfolio allocation and order submission
Integrate with multiple brokerages with a single code base
Handle multiple alpha signals to create unified signals, and learn industry standard risk management techniques

Who this course is for

This course is for traders and programmers looking to implement multi-strategy quantitative portfolios for research or trading purposes in non-HFT spaces.
For algorithmic traders who wish to have a more professional setup to integrate their strategies into more robust frameworks for their return harvesting.

Specificatoin of Multi-Strategy Quant Systems – Algorithmic Trading in Python

Publisher : Udemy
Teacher : Hanguk Quant
Language : English
Level : Intermediate
Number of Course : 50
Duration : 6 hours and 58 minutes

Content of Multi-Strategy Quant Systems – Algorithmic Trading in Python

Multi-Strategy Quant Systems - Algorithmic Trading in Python

Requirements

Basic Financial/Quantitative Literacy is expected.
Programming methodology (not necessarily in Python) is expected for coding in Python.
Ability to self-learn and comprehend documentation and code is expected.
Knowledge of tech stacks are NOT expected, basic software will be used.